最近忙着开发docker平台，所以挺久没有更新博客了，今天给大家分享一下，我开发docker平台里如何监控资源与进行图像展示的。
默认docker 1.5版本有stats命令查看容器的cpu使用率、内存使用量与网络流量，但此功能有2个必须：
1、必须是docker 1.5版本
2、必须使用默认docker0的网桥（如果你使用ovs这样非原生的网桥无法获取数据的）
我开发的监控里docker是1.5版本，并且通过使用ifconfig来获取容器rx或rx量来获取容器流量，解决了必须使用docker默认网桥才可以获取流量数据。
下面是容器资源监控效果图
1、平台里资源监控界面
2、查看容器yangjing-test的cpu使用率资源监控
3、查看内存使用量资源监控
4、查看容器网络流量信息
下面是监控数据收集脚本信息
使用python写的,由于需要往mysql里写入数据，所以需要安装MySQLdb模块以及服务端mysql开启账号
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[root@ip-10-10-29-201 code]
# cat collect_docker_monitor_data_multi.py
#!/usr/bin/env python
#-*- coding: utf-8 -*-
#author:Deng Lei
#email: dl528888@gmail.com
from docker
import
Client
import
os
import
socket, struct, fcntl
import
etcd
import
MySQLdb
import
re
import
multiprocessing
import
subprocess
import
time
def get_local_ip(iface =
'em1'
):
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sockfd = sock.fileno()
SIOCGIFADDR = 0x8915
ifreq = struct.pack(
'16sH14s'
, iface, socket.AF_INET,
'\x00'
*14)
try:
res = fcntl.ioctl(sockfd, SIOCGIFADDR, ifreq)
except:
return
None
ip = struct.unpack(
'16sH2x4s8x'
, res)[2]
return
socket.inet_ntoa(ip)
def docker_container_all():
docker_container=docker_client.containers(all=True)
container_name=[]
container_stop_name=[]
for
i
in
docker_container:
container_name.append(i[
'Names'
])
for
b
in
container_name:
for
c
in
b:
container_stop_name.append(c[1::])
return
container_stop_name
def docker_container_run():
docker_container=docker_client.containers(all=True)
container_name=[]
container_stop_name=[]
for
i
in
docker_container:
if
re.match(
'Up'
,i[
'Status'
]):
container_name.append(i[
'Names'
])
for
b
in
container_name:
for
c
in
b:
container_stop_name.append(c[1::])
return
container_stop_name
def check_container_stats(name):
container_collect=docker_client.stats(name)
old_result=
eval
(container_collect.next())
new_result=
eval
(container_collect.next())
container_collect.close()
cpu_total_usage=new_result[
'cpu_stats'
][
'cpu_usage'
][
'total_usage'
] - old_result[
'cpu_stats'
][
'cpu_usage'
][
'total_usage'
]
cpu_system_uasge=new_result[
'cpu_stats'
][
'system_cpu_usage'
] - old_result[
'cpu_stats'
][
'system_cpu_usage'
]
cpu_num=len(old_result[
'cpu_stats'
][
'cpu_usage'
][
'percpu_usage'
])
cpu_percent=round((float(cpu_total_usage)
/float
(cpu_system_uasge))*cpu_num*100.0,2)
mem_usage=new_result[
'memory_stats'
][
'usage'
]
mem_limit=new_result[
'memory_stats'
][
'limit'
]
mem_percent=round(float(mem_usage)
/float
(mem_limit)*100.0,2)
#network_rx_packets=new_result['network']['rx_packets']
#network_tx_packets=new_result['network']['tx_packets']
network_check_command=
""
"docker exec %s ifconfig eth1|grep bytes|awk -F ':' '{print $2,$3}'|awk -F '(' '{print $1,$2}'|awk -F ')' '{print $1}'|awk '{print "
{\\
"rx\\"
:
"$1"
,\\
"tx\\"
:
"$2"
}
"}'"
""
%name
network_old_result=
eval
(((subprocess.Popen(network_check_command,shell=True,stdout=subprocess.PIPE)).stdout.readlines()[0]).strip(
'\n'
))
time
.
sleep
(1)
network_new_result=
eval
(((subprocess.Popen(network_check_command,shell=True,stdout=subprocess.PIPE)).stdout.readlines()[0]).strip(
'\n'
))
#unit KB
network_rx_packets=(int(network_new_result[
'rx'
]) - int(network_old_result[
'rx'
]))
/1024
network_tx_packets=(int(network_new_result[
'tx'
]) - int(network_old_result[
'tx'
]))
/1024
collect_time=str(new_result[
'read'
].
split
(
'.'
)[0].
split
(
'T'
)[0])+
' '
+str(new_result[
'read'
].
split
(
'.'
)[0].
split
(
'T'
)[1])
msg={
'Container_name'
:name,
'Cpu_percent'
:cpu_percent,
'Memory_usage'
:mem_usage,
'Memory_limit'
:mem_limit,
'Memory_percent'
:mem_percent,
'Network_rx_packets'
:network_rx_packets,
'Network_tx_packets'
:network_tx_packets,
'Collect_time'
:collect_time}
#write_mysql(msg)
return
msg
def write_mysql(msg):
container_name=msg[
'Container_name'
]
search_sql=
"select dc.id from docker_containers dc,docker_physics dp where dc.container_name='%s' and dp.physics_internal_ip='%s';"
%(container_name,local_ip)
n=mysql_cur.execute(search_sql)
container_id=[int(i[0])
for
i
in
mysql_cur.fetchall()][0]
insert_sql=
"insert into docker_monitor(container_id,cpu_percent,memory_usage,memory_limit,memory_percent,network_rx_packets,network_tx_packets,collect_time) values('%s','%s','%s','%s','%s','%s','%s','%s');"
%(container_id,msg[
'Cpu_percent'
],msg[
'Memory_usage'
],msg[
'Memory_limit'
],msg[
'Memory_percent'
],msg[
'Network_rx_packets'
],msg[
'Network_tx_packets'
],msg[
'Collect_time'
])
n=mysql_cur.execute(insert_sql)
if
__name__ ==
"__main__"
:
local_ip=get_local_ip(
'ovs1'
)
if
local_ip is None:
local_ip=get_local_ip(
'em1'
)
etcd_client=etcd.Client(host=
'127.0.0.1'
, port=4001)
docker_client = Client(base_url=
'unix://var/run/docker.sock'
, version=
'1.17'
)
mysql_conn=MySQLdb.connect(host=
'10.10.27.10'
,user=
'ops'
,
passwd
=
'1FE@!#@NVE'
,port=3306,charset=
"utf8"
)
mysql_cur=mysql_conn.cursor()
mysql_conn.select_db(
'devops'
)
#docker_container_all_name=docker_container_all()
docker_container_run_name=docker_container_run()
if
len(docker_container_run_name) == 1:
num=1
elif
len(docker_container_run_name) >= 4 and len(docker_container_run_name) <=8:
num=4
elif
len(docker_container_run_name) >8 and len(docker_container_run_name) <=15:
num=8
elif
len(docker_container_run_name) >15 and len(docker_container_run_name) <=30:
num=20
else
:
num=40
pool = multiprocessing.Pool(processes=num)
scan_result=[]
#collect container monitor data
for
i
in
docker_container_run_name:
pool.apply_async(check_container_stats, (i,))
scan_result.append(pool.apply_async(check_container_stats, (i,)))
pool.close()
pool.
join
()
result=[]
for
res
in
scan_result:
if
res.get() is not None:
write_mysql(res.get())
else
:
print
'fail is %s'
%res.get()
mysql_conn.commit()
mysql_cur.close()
mysql_conn.close()
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下面是把此脚本放入crontab里每分钟收集一下
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1
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*
/1
* * * * python
/root/collect_docker_monitor_data_multi
.py >>
/root/docker_log/docker_monitor
.log 2>&1
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另外说明一下，上面的监控数据图形化使用highstock，使用ajax进行动态加载数据，每次获取容器所有时间监控数据。有问题请留言。
本文转自 reinxu 51CTO博客，原文链接：http://blog.51cto.com/dl528888/1635951，如需转载请自行联系原作者
